Tenebrionidae (Coleoptera) of the Maritime Provinces of Canada
Bibliographic record
Abstract
Abstract The Tenebrionidae of the Maritime Provinces of Canada are surveyed. Forty-eight species have been reported from the region. Eleven of these species (ten Palearctic and one Nearctic) have been introduced to the region, five of which are apparently now extirpated. Dates of first detection of these species are provided for each province and North America. Thirteen species are newly recorded in New Brunswick, 25 in Nova Scotia, and 15 on Prince Edward Island, for a total of 53 new provincial records. Of these, 18 species including Bolitophagus corticola Say, Neatus tenebrioides (Palisot de Beauvois), Helops gracilis Bland, Blapstinus substriatus Champion, Hymenorus obesus Casey, Hymenorus picipennis Casey, Hymenorus pilosus (Melsheimer), Mycetochara bicolor (Couper), Mycetochara binotata (Say), Mycetochara fraterna (Say), Platydema excavatum (Say), Platydema teleops Triplehorn, Corticeus praetermissus (Fall), Alobates pennsylvanicus (DeGeer), Haplandrus fulvipes (Herbst), Xylopinus saperdioides (Olivier), an undescribed species of Paratenetus Spinola, and an undescribed species of Neatus LeConte are newly recorded for the Maritime Provinces as a whole. One of these, Helops gracilis, is recorded for the first time in Canada. The fauna is discussed from the perspective of the patterns of distribution of species in the region and their possible underlying causes. Island faunas are discussed, as is the saproxylic component of the fauna, with a brief consideration of the importance of this trophic group in the dynamics of forest ecosystems in the region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".